minos | Deep learning , architecture and hyper parameters | Machine Learning library

 by   guybedo Python Version: v0.4.3 License: Apache-2.0

kandi X-RAY | minos Summary

kandi X-RAY | minos Summary

minos is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, Keras applications. minos has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However minos has 1 bugs. You can install using 'pip install minos' or download it from GitHub, PyPI.

Search for neural networks architecture & hyper parameters with genetic algorithms. It is built on top of Keras+Tensorflow to build/train/evaluate the models, and uses DEAP for the genetic algorithms.
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            kandi-support Support

              minos has a low active ecosystem.
              It has 47 star(s) with 10 fork(s). There are 5 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 1 open issues and 0 have been closed. On average issues are closed in 1228 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of minos is v0.4.3

            kandi-Quality Quality

              minos has 1 bugs (0 blocker, 0 critical, 1 major, 0 minor) and 56 code smells.

            kandi-Security Security

              minos has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              minos code analysis shows 0 unresolved vulnerabilities.
              There are 1 security hotspots that need review.

            kandi-License License

              minos is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              minos releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              minos saves you 1545 person hours of effort in developing the same functionality from scratch.
              It has 3440 lines of code, 290 functions and 42 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed minos and discovered the below as its top functions. This is intended to give you an instant insight into minos implemented functionality, and help decide if they suit your requirements.
            • Performs a single model search
            • Create custom experiment parameters
            • Build a network layout
            • Define a parameter
            • Creates a new float parameter
            • Set a layer parameter
            • Configure logging to console
            • Create a worker for the model training
            • Train a Keras model
            • Setup a keras session
            • Check if the device is a valid CPU device
            • Train a model on multiple GPUs
            • Generate a random layout
            • Create a random blueprint
            • Perform population search
            • Logs a step
            • Load the best model for experiment
            • Evaluate the model
            • Duplicate two individuals
            • Build the model
            • Create a parameter
            • Create a float parameter
            • Create a boolean parameter
            • Adds a layer type
            • Adds an activation parameter
            • Set an optimizer parameter
            • Returns the monitored metric
            • Check if the first layer is a merge layer
            Get all kandi verified functions for this library.

            minos Key Features

            No Key Features are available at this moment for minos.

            minos Examples and Code Snippets

            Minos,Getting Started
            Pythondot img1Lines of Code : 82dot img1License : Permissive (Apache-2.0)
            copy iconCopy
            pip install pyminos==0.5.1
            
            from minos.model.model import Layout
            layout = Layout(
                input_size=1000,
                output_size=25,
                output_activation='softmax')
            
            from minos.model.model import Objective, Optimizer, Metric
            from minos.experiment.training imp  
            Minos,Terminology
            Pythondot img2Lines of Code : 41dot img2License : Permissive (Apache-2.0)
            copy iconCopy
            Experiment:
                Defines all the parameters related to the search:
                    - the layout,
                    - the layer parameters
                    - the training parameters
            Layout:
                A layout defines the architecture of a network. A layout is vertical stack of rows.
            R  

            Community Discussions

            QUESTION

            How to specify NLP solver settings in GEKKO?
            Asked 2020-Apr-10 at 05:25

            I have a quick question,

            In the documentation of GEKKO, it is mentioned "APMonitor provides the following to a Nonlinear Programming Solver (APOPT, BPOPT, IPOPT, MINOS, SNOPT) in sparse form".

            I'd like to know how to change these settings in GEKKO. By default, I could see IPOPT in the results summary.

            For instance, in this post m.solver_options is mentioned. But I'm not really sure how to use this to specify solver type (APOPT, BPOPT, IPOPT, MINOS, SNOPT).

            Any suggestions on how to do this will be helpful

            ...

            ANSWER

            Answered 2020-Apr-10 at 05:25

            GEKKO solver options can be changed as shown in the documentation. The solver can be changed with m.options.SOVLER=1 for APOPT, m.options.SOVLER=2 for BPOPT, and m.options.SOVLER=3 for IPOPT. There are other solver options, but not with the publicly available version. Here are a few options for APOPT:

            Source https://stackoverflow.com/questions/61125701

            QUESTION

            Replace selected drop down list option with corresponding code onEdit at Google sheets
            Asked 2020-Mar-19 at 12:58

            I have a file with several worksheets. In the "J4:BA1000" of some of these sheets are drop down options where the user can select letters from A to I. What I'm trying to achieve is that upon selection, the selected option is replaced by its corresponding code: 1 to 9. With this, I tried out the code below, which is also something I saw from stack overflow. However, it's not working and I'm not sure why. I believe the logic is correct, the sheet names are exact and the conditions are there.

            I'm reaching out to the community for your advise.

            Likewise, I believe there's an improvement on how I do the checking of sheet names to avoid the multiple || (or), and as well the changing of values to avoid the multiple ifs.

            Hoping for your advise on this. Thanks!

            ...

            ANSWER

            Answered 2020-Mar-19 at 12:58
            Answer:

            To get the range of an event object you need to use e.range, not e.getRange.

            Code:

            I also changed your initial Sheet name checking condition to make it slightly more efficient, and removed the need for multiple ifs in the block by changing subsequent if blocks to else ifs:

            Source https://stackoverflow.com/questions/60753480

            QUESTION

            How to add feature or thumbnail image for post in .Rmd file
            Asked 2020-Mar-05 at 21:27

            I'm currently trying to setup a hugo blog with blogdown and can't find a way to add feature or thumbnail images to posts from within .Rmd files, which would like this with the tranquilpeak theme:

            As far as I understand, it is easy to do in .md files by just adding some syntax like this:

            ...

            ANSWER

            Answered 2017-Sep-12 at 03:06

            It does not matter whether you use .md or .Rmd: if the theme supports the featuredImage option, you can also use it in .Rmd. The only thing you need to make sure is to write metadata in YAML instead of TOML if the post format is .Rmd (see documentation), i.e.,

            Source https://stackoverflow.com/questions/46164301

            QUESTION

            Find a substring that appears before a word in a string upto a number
            Asked 2019-Jul-11 at 19:13

            I have a string :

            ...

            ANSWER

            Answered 2019-Jul-11 at 19:13

            The pattern I'd use: ((\d+)(?!.*\d).*)engineer -- it looks for the latest digit and goes from there.

            Something similar to (\d.*)engineer would also work but only if there's only one digit in the string.

            Source https://stackoverflow.com/questions/56983420

            QUESTION

            question about syntax for structure in linked list
            Asked 2018-Nov-27 at 10:11

            I have question about the syntax for a structure inside a chained list:

            I have this chain list structure:

            ...

            ANSWER

            Answered 2018-Nov-27 at 10:03

            QUESTION

            Optimizer supporting `or` and `count` constraints in AMPL
            Asked 2018-Sep-22 at 18:14

            I have designed an AMPL model.

            I want to add to it some constraints such as:

            ...

            ANSWER

            Answered 2018-Sep-22 at 18:14

            The chapter about integer programming in the AMPL book has helped me solve this question.

            The solution I implemented was to reformulate the restrictions using binary variables and then use the CPLEX solver.

            Source https://stackoverflow.com/questions/52458686

            QUESTION

            what is `__()` (double underscore) function in hexo?
            Asked 2018-Jul-16 at 06:56

            I'm learning to build a hexo theme recently, but I am confused about __() function. I didn't find answer in hexo doc. I have no idea this is in-built or what?

            this code is from theme-minos:

            ...

            ANSWER

            Answered 2018-Jul-16 at 06:56

            Finally I find answer in hexo document.

            Use __ or _p helpers in templates to get the translated strings. The former is for normal usage and the latter is for plural strings.

            see more: https://hexo.io/docs/internationalization.html

            Source https://stackoverflow.com/questions/51340450

            QUESTION

            Unity - GetKeyDown and GetKey using the same KeyCode to get a delay on input if held down
            Asked 2018-May-29 at 22:06

            I an trying to get the user input do two different behaviors with the same input key.

            like this :

            ...

            ANSWER

            Answered 2018-May-29 at 22:06

            Looks like I misunderstood the original question. You want to move on "D" key press only but move until your you have reached the Edge when the the "D" key is held down.You need a timer when the the key is held down and this can be done with Time.deltaTime. Check while the key is held down with Input.GetKey, and if the timer reaches the amount of value you think makes it a held down, then you know the key is held down.

            Also, check when the key is released with Input.GetKeyUp(KeyCode.D). If the key is released but timer has not reached the value you think makes it a held down,then it's simply a key press. It's worth doing this in a coroutine function instead of the Update function to simplify it and also reduce the amount of variables required to do it.

            Source https://stackoverflow.com/questions/50570647

            QUESTION

            AMPL Cplex error: QP Hessian is not positive semi-definite
            Asked 2017-Nov-07 at 16:00

            I'm currently trying to solve an AMPL model, that runs for me using minos, with cplex and integral variables.

            Most of the problems I've solved (i think). Helped myself with a "ratio trick" from here: http://lpsolve.sourceforge.net/5.5/ratio.htm, yet right now I get "QP Hessian is not positive semi-definite." error from one of my constraints.

            I kinda know what the error means, yet I am not sure why it is showing for this constraint :/

            ...

            ANSWER

            Answered 2017-Nov-04 at 18:41

            Cplex can only handle certain classes of quadratic constraints (in general -- with some exceptions -- things must stay convex). In your definition of variable quantityK you introduce a quadratic expression that Cplex cannot handle.

            One simple approach is just to solve the problem twice: once with isKUsed=0 and once with with isKUsed=1. Then just pick the best solution.

            Otherwise you can linearize things. Multiplication of a binary variable times a continuous (or integer) non-negative variable is not very hard to linearize.

            Source https://stackoverflow.com/questions/47111346

            QUESTION

            fastest implementation to cut n×n board into n connected n-minos
            Asked 2017-May-26 at 07:01

            I am attempting to create a puzzle to let players piece together an n×n grid using n connected n-minos (definition: connected piece of n 1×1 blocks, e.g. each of the Tetris pieces is a 4-mino). However, generating a way to cut the grid first proves to be a challenge despite seemingly easy enough for a human.

            example board

            For human, generating such a solution is a relative easy task by recursively following the following logic/pseudo-code:

            :start_of_recursion:

            • Start with a random "least connected" piece (end, corner, edge pieces that has the fewest member connecting to it) to be the starting mino block

              :start_of_recursion:

              • Make a "grow" in a random available direction from a random piece in the current mino
                • If "grow" results in a "separated" remaining board(, if the separated region isn't a multiple of n), try some other location and direction
                  • if all location and direction has been attempted, revert to previous board configuration (shouldn't really occur?)
              • If size-n has been reached, exit recursion

              :end_of_recursion:

            • if board has been filled, exit recursion

            :end_of_recursion:

            Performing this routine seem to generate an O(n^2) method of solution generation, however the condition checks prove to be really expensive for computers. In order to determine whether the board to be connected, a human simply checks for any "gap" inside the remaining region, and is processed in almost O(1) fashion for a simple non-overlapping graph, whereas my code implementation need to "spread" from a point on the graph into its neighboring territories and check after the spreading is complete to check whether if any points lies outside of reach (O(n) at best). Since this check is to be performed every time in the innermost iteration, it degenerates the complexity into an O(n^(3+)) problem and becomes really inefficient.

            Is there a method to check for "gap" in a manner similar to that of human cognition? Or can the problem be fundamentally thought of and simplified into a problem easier for computer to solve?

            ...

            ANSWER

            Answered 2017-May-26 at 07:01

            Your problem sounds like a variant of bin packing problem. I would approach this by constraint satisfaction method. Below I'll use Minizinc pseudo-code.

            A board consists of cells, each cell could be colored into one color from several. We can represent it as follows:

            Source https://stackoverflow.com/questions/44162833

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install minos

            You need to have tensorflow installed, see tensorflow linux or tensorflow mac. To run an experiment and search hyper parameters and/or architecture for a model and dataset, you can define a simple layout with the input_size, output_size and output_activation of your model. Then you define the parameters of the training. If you specify only the name of the optimizer to use, and no parameters, random parameters will be tested during the experiment, hopefully converging to optimal parameters. You can choose to stop the training after a fixed number of epochs, or when the accuracy of the model evaluated stops increasing. Now you need to define which parameters will be randomly tested. An ExperimentParameters contains all the parameters that can be tested. It can be initialized with the default values for each parameter so that you only redefine the parameters you want to test, specifying intervals or list of values for example.

            Support

            For now there is no documentation. Best thing to do is to have a look at the examples in https://github.com/guybedo/minos/tree/develop/examples. This is quite straightforward to use, the examples should be enough to start trying things and running experiments.
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            https://github.com/guybedo/minos.git

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            gh repo clone guybedo/minos

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            git@github.com:guybedo/minos.git

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